Iris Prudence
Crawling UNIQLO with Java & Cassandra: Tracking Clothing Prices, Fabric Technology Features, and Customer Feedback for Retail Optimization
Track UNIQLO prices, fabric tech, and feedback using Java & Cassandra for retail optimization. Enhance insights with efficient data crawling techniques.
Extracting Fashion Trends from H&M Using Ruby & MariaDB: Collecting New Collection Launches, Discount Trends, and Customer Ratings
Discover how to extract fashion trends from H&M using Ruby & MariaDB by analyzing new collections, discount patterns, and customer ratings efficiently.
Scraping Pull&Bear with Ruby & PostgreSQL: Extracting Clothing Prices, New Collections, and Customer Reviews for Market Insights
Learn to scrape Pull&Bear using Ruby & PostgreSQL to extract clothing prices, new collections, and customer reviews for valuable market insights.
Extracting Fast Fashion Trends from Shein Using Python & MySQL: Scraping New Arrivals, Price Drops, and Customer Ratings
Learn to extract fast fashion trends from Shein using Python & MySQL by scraping new arrivals, price drops, and customer ratings for data-driven insights.
Mining Streetwear Data from Bershka with JavaScript & Firebase: Analyzing Product Availability, Seasonal Discounts, and Fashion Trends
Explore mining streetwear data from Bershka using JavaScript & Firebase to analyze product availability, seasonal discounts, and fashion trends effectively.